from PIL import Image
import csv
from datetime import datetime
from matplotlib import pyplot as plt
# filename = 'sitka_weather_07-2014.csv'
filename = 'sitka_weather_2014.csv'
with open(filename) as f:
    reader = csv.reader(f)
    header_row = next(reader)
    # print(header_row)
    # 读出第一行
    # for index,column_header in enumerate(header_row):
    # print(index,column_header)
    # 获取最高气温
    dates, highs, lows = [], [], []
    for row in reader:
        try:
            current_date = datetime.strptime(row[0], "%Y-%m-%d")
            high = int(row[1])
            low = int(row[3])
        except ValueError:
            print(current_date, "missing data")
        else:
            dates.append(current_date)
            highs.append(high)
            lows.append(low)
# 根据数据绘制图形
fig = plt.figure(dpi=128, figsize=(10, 6))
plt.plot(dates, highs, c='red', alpha = 0.5)
plt.plot(dates, lows, c='blue', alpha = 0.5)
plt.fill_between(dates, highs, lows, facecolor='blue', alpha=0.2)

plt.title('Daily high and low temperatures - 2014', fontsize=24)
plt.xlabel('', fontsize=16)
fig.autofmt_xdate()
plt.ylabel("Temperature(F)", fontsize=16)
plt.tick_params(axis='both', which='major', labelsize=16)
plt.savefig('16.1_temp_high_low.png', bbox_inches='tight')

img = Image.open('16.1_temp_high_low.png')
img.show()
